docs: def step(h, logy=None, axes=None, **kwargs):
      """
      Make a matplotlib step plot from a ROOT histogram.
  
      Parameters
      ----------
  
      h : Hist
          A rootpy Hist
  
      logy : bool, optional (default=None)
          If True then clip the y range between 1E-300 and 1E300.
          If None (the default) then automatically determine if the axes are
          log-scale and if this clipping should be performed.
  
      axes : matplotlib Axes instance, optional (default=None)
          The axes to plot on. If None then use the global current axes.
  
      kwargs : additional keyword arguments, optional
          Additional keyword arguments are passed directly to
          matplotlib's fill_between function.
  
      Returns
      -------
  
      Returns the value from matplotlib's fill_between function.
  
      """
      if axes is None:
          axes = plt.gca()
      if logy is None:
          logy = axes.get_yscale() == 'log'
      _set_defaults(h, kwargs, ['common', 'line'])
      if kwargs.get('color') is None:
          kwargs['color'] = h.GetLineColor('mpl')
      y = np.array(list(h.y()) + [0.])
      if logy:
          np.clip(y, 1E-300, 1E300, out=y)
      return axes.step(list(h.xedges()), y, where='post', **kwargs)